Machine Learning-Driven Blockchain for Enhanced Transparency in Government Public Records

With more things done online, citizens have never wanted government data to be more available and dependable. This paper proposes a solution using blockchain and powerful algorithms. The recommended approach uses blockchain's immutability and safety, machine learning to discover outliers, and NLP to organize data. This coordinated strategy automates and opens government records to increase data quality, accessibility, and speed. Several tests and performance assessments compared the recommended solution to the traditional record-keeping method. Finding anomalies is faster using machine learning anomaly detection and natural language processing record sorting. This ensures data accuracy and clarity in real time. Spreading blockchain keeps documents secure and unchangeable. This makes changing difficult for those who shouldn't. The study found that the proposed strategy might improve public record management. It improves transparency, a crucial trait for responsible leadership, in a powerful, safe, and automated way using blockchain technology and cutting-edge algorithms.

I. Introduction

Modern technology evolves swiftly. Machine intelligence and blockchain are transforming how nations track public information. People demand more from the government, which is regularly attacked for inefficiency. Machine-learning-driven blockchain systems might revolutionize public data creation, storage, and access, fostering trust and openness [1]. This novel technique and how it may help governments clarify and speed up public document management are explained in detail. As governments throughout the world struggle to protect public documents, a hack-proof system is crucial. When documents are preserved the old-fashioned way, which leads to errors, fraud, and waste, people lose trust in the government. These issues can be addressed using blockchain technology, which uses machine learning. It protects, provides access, and interprets data. This study examines blockchain systems and machine learning. This might drastically transform how states manage public information [2]. Blockchain technology has transformed several industries, but bitcoin is the most famous. The immutability of blockchain data and its global ledger help governments authenticate public documents. Machine learning simplifies public data analysis. With this strategy, much may be accomplished. Blockchain and AI might build a transparent, accountable, and open public data system. Government documents include legislation, policy, and spending reports [3]. A functioning society need them. Records must be safe, accessible, and complete to build trust. Machine learning-based blockchains might make data control and alteration difficult. This essay examines how this new technology may promote open government and data security. Blockchain technology is appealing for its autonomy [4]. Blockchains are decentralized, making it hard for one organization to modify public information. Machine learning increases security by automatically detecting rule-breaking data changes. This study will examine how this combined method may ensure government publishing correctness. Blockchain intelligence may increase with machine learning. Governments can teach computers to analyze huge volumes of public record data to speed up their use [5]. This essay examines how machine learning may simplify public government paper discovery. This might improve government transparency and decision-making. Government record-keeping should be efficient. Handwritten notes take time and effort, which can lead to errors and delays. Machine learning might speed up this process by reducing data entry, checking, and organization. Blockchain prevents changes to recorded data. This article discusses how machine learning and blockchain technology may simplify public record tracking. Data tampering, corruption, and a lack of public documentation make people distrust their governments [6]. You might still believe machine learning and blockchain technology can reduce the trust gap and fix these difficulties. A safe, open, and helpful approach to handling public data with this unique technology might restore faith in government entities. This article will examine real-world instances of blockchain-powered machine learning systems handling government documents [7]. These case studies can help policymakers and government agencies harness this game-changing technology. They will demonstrate the drawbacks, advantages, and hazards of various systems [8]. To conclude, blockchain and machine learning might make government documents more accessible, secure, and helpful. Combining these sophisticated technologies might help governments enhance public services while safeguarding privacy and making information more accessible [9]. This essay examines the pros and cons of utilizing a machine learning-powered blockchain to make government data more transparent. This study uses blockchain and machine learning to identify publicly available literature [10]. This method seeks public articles. The government's record-keeping processes must be improved to promote openness and confidence [11]. This study examines the complicated ways by which this innovative method may restore public faith in democratic institutions. A research evaluated how machine learning-powered blockchain systems automatically categorize and preserve government data. These technologies may boost public confidence, data protection, and transparency by ensuring document security, accessibility, and irreversibility. The results show the pros and cons of this modern technology [12], to help government agencies and politicians create a more flexible and transparent system. The government's new paper management system is actively restoring confidence and openness.